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- research-articleNovember 2013
LFGraph: simple and fast distributed graph analytics
TRIOS '13: Proceedings of the First ACM SIGOPS Conference on Timely Results in Operating SystemsArticle No.: 9, Pages 1–17https://doi.org/10.1145/2524211.2524218Distributed graph analytics frameworks must offer low and balanced communication and computation, low preprocessing overhead, low memory footprint, and scalability. We present LFGraph, a fast, scalable, distributed, in-memory graph analytics engine ...
- research-articleNovember 2013
SETSUDŌ: perturbation-based testing framework for scalable distributed systems
TRIOS '13: Proceedings of the First ACM SIGOPS Conference on Timely Results in Operating SystemsArticle No.: 7, Pages 1–14https://doi.org/10.1145/2524211.2524217Modern scalable distributed systems are designed to be partition-tolerant. They are often required to support increasing load in service requests elastically, and to provide seamless services even when some servers malfunction. Partition-tolerance ...
- research-articleNovember 2013
Hosting dynamic data in the cloud with Isis2 and the Ida DHT
TRIOS '13: Proceedings of the First ACM SIGOPS Conference on Timely Results in Operating SystemsArticle No.: 10, Pages 1–15https://doi.org/10.1145/2524211.2524212The big-data community generally favors a two stage methodology whereby data is first collected, then uploaded for analysis using tools like MapReduce. During analysis the data won't change; this simplifies fault-tolerance and makes it worthwhile to ...